EE269
所属分类：物理/力学计算
开发工具：Python
文件大小：0KB
下载次数：0
上传日期：2020-11-20 11:14:29
上 传 者：
sh-1993
说明： 斯坦福大学EE269机器学习信号处理的最终项目，
(The final project of EE269 Signal Processing for Machine Learning at Stanford,)
文件列表:
pytorch/ (0, 2020-11-20)
pytorch/Optim.py (2249, 2020-11-20)
pytorch/argument.py (1877, 2020-11-20)
pytorch/go.sh (370, 2020-11-20)
pytorch/main.py (2109, 2020-11-20)
pytorch/model/ (0, 2020-11-20)
pytorch/model/MEMRNN.py (4452, 2020-11-20)
pytorch/model/__pycache__/ (0, 2020-11-20)
pytorch/model/__pycache__/MEMRNN.cpython-35.pyc (3375, 2020-11-20)
pytorch/utils.py (4763, 2020-11-20)
src/ (0, 2020-11-20)
src/beijing/ (0, 2020-11-20)
src/beijing/attention_utils.py (2615, 2020-11-20)
src/beijing/memdnn_split_attn.py (24463, 2020-11-20)
src/beijing/utils.py (758, 2020-11-20)
src/electricity/ (0, 2020-11-20)
src/electricity/attention_utils.py (2615, 2020-11-20)
src/electricity/memdnn_split_attn.py (23408, 2020-11-20)
src/electricity/utils.py (1103, 2020-11-20)
src/energy/ (0, 2020-11-20)
src/energy/attention_utils.py (2615, 2020-11-20)
src/energy/memdnn_split_attn.py (24506, 2020-11-20)
src/energy/utils.py (758, 2020-11-20)
src/kdd2018/ (0, 2020-11-20)
src/kdd2018/bj_LSTNet.py (9123, 2020-11-20)
src/kdd2018/bj_lstme.py (9306, 2020-11-20)
src/kdd2018/constant.py (4987, 2020-11-20)
src/kdd2018/dataset.py (12248, 2020-11-20)
src/kdd2018/evaluate.py (2487, 2020-11-20)
src/kdd2018/ld_LSTNet.py (8988, 2020-11-20)
src/kdd2018/ld_lstme.py (9150, 2020-11-20)
src/kdd2018/ld_model.py (7387, 2020-11-20)
src/kdd2018/model.py (8014, 2020-11-20)
src/kdd2018/split_data.py (4442, 2020-11-20)
src/kdd2018/split_london_data.py (4429, 2020-11-20)
src/kdd2018/utils.py (4199, 2020-11-20)
src/solar/ (0, 2020-11-20)
src/solar/attention_utils.py (2615, 2020-11-20)
src/solar/go.sh (322, 2020-11-20)
... ...
# EE269
The final project of EE269 Signal Processing for Machine Learning at Stanford
### datasets
We can download the datasets from \
https://github.com/laiguokun/multivariate-time-series-data
### usage
1. Download the datasets from the link.
2. Create a directory "mkdir data" and move the downloaded datasets into "data/"
3. "cd src/electricity/"
4. Make a directory "model" under "src/electricity/"
5. python3 memdnn_split_attn.py --data data/electricity.txt --CNN_kernel 6 --CNN_unit 100 --GRU_unit 100 --input_length 24 --horizon 3
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